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TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
IWMM
2011
Springer
245views Hardware» more  IWMM 2011»
12 years 10 months ago
Waste not, want not: resource-based garbage collection in a shared environment
To achieve optimal performance, garbage-collected applications must balance the sizes of their heaps dynamically. Sizing the heap too small can reduce throughput by increasing the...
Matthew Hertz, Stephen Kane, Elizabeth Keudel, Ton...
SIGMOD
2011
ACM
218views Database» more  SIGMOD 2011»
12 years 10 months ago
A data-oriented transaction execution engine and supporting tools
Conventional OLTP systems assign each transaction to a worker thread and that thread accesses data, depending on what the transaction dictates. This thread-to-transaction work ass...
Ippokratis Pandis, Pinar Tözün, Miguel B...
CVPR
2006
IEEE
14 years 9 months ago
A Projective Invariant for Textures
Image texture analysis has received a lot of attention in the past years. Researchers have developed many texture signatures based on texture measurements, for the purpose of uniq...
Cornelia Fermüller, Hui Ji, Yong Xu